Deep Learning Applications And Intelligent Decision Making In Engineering

Deep Learning Applications And Intelligent Decision Making In Engineering Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Deep Learning Applications And Intelligent Decision Making In Engineering book. This book definitely worth reading, it is an incredibly well-written.

Deep Learning Applications and Intelligent Decision Making in Engineering

Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi

Author : Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi
Publisher : IGI Global
Page : 332 pages
File Size : 55,8 Mb
Release : 2020-10-23
Category : Technology & Engineering
ISBN : 9781799821106

Get Book

Deep Learning Applications and Intelligent Decision Making in Engineering by Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi Pdf

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Applied Intelligent Decision Making in Machine Learning

Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey

Author : Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey
Publisher : CRC Press
Page : 263 pages
File Size : 45,6 Mb
Release : 2020-11-18
Category : Computers
ISBN : 9781000208542

Get Book

Applied Intelligent Decision Making in Machine Learning by Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey Pdf

The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.

Machine Learning for Intelligent Decision Science

Jitendra Kumar Rout,Minakhi Rout,Himansu Das

Author : Jitendra Kumar Rout,Minakhi Rout,Himansu Das
Publisher : Springer Nature
Page : 219 pages
File Size : 45,9 Mb
Release : 2020-04-02
Category : Technology & Engineering
ISBN : 9789811536892

Get Book

Machine Learning for Intelligent Decision Science by Jitendra Kumar Rout,Minakhi Rout,Himansu Das Pdf

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.

Artificial Intelligence and Knowledge Processing

Hemachandran K,Raul V. Rodriguez,Umashankar Subramaniam,Valentina Emilia Balas

Author : Hemachandran K,Raul V. Rodriguez,Umashankar Subramaniam,Valentina Emilia Balas
Publisher : CRC Press
Page : 372 pages
File Size : 55,6 Mb
Release : 2023-09-06
Category : Technology & Engineering
ISBN : 9781000934625

Get Book

Artificial Intelligence and Knowledge Processing by Hemachandran K,Raul V. Rodriguez,Umashankar Subramaniam,Valentina Emilia Balas Pdf

Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.

Deep Neural Network Applications

Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok

Author : Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok
Publisher : CRC Press
Page : 158 pages
File Size : 53,9 Mb
Release : 2022-04-28
Category : Computers
ISBN : 9780429556203

Get Book

Deep Neural Network Applications by Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok Pdf

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars, trucks, and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet, which led to the emergence of the information age, AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives, and, from it, innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception, speech recognition, decision-making, and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches, problem solving, knowledge representation, planning, learning, natural language processing, perception, motion and manipulation, social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications.

Intelligent Decision Making: An AI-Based Approach

Gloria Phillips-Wren,Nikhil Ichalkaranje

Author : Gloria Phillips-Wren,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 42,7 Mb
Release : 2008-03-04
Category : Mathematics
ISBN : 9783540768289

Get Book

Intelligent Decision Making: An AI-Based Approach by Gloria Phillips-Wren,Nikhil Ichalkaranje Pdf

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Artificial Intelligence and Industrial Applications

Tawfik Masrour,Hassan Ramchoun,Tarik Hajji,Mohamed Hosni

Author : Tawfik Masrour,Hassan Ramchoun,Tarik Hajji,Mohamed Hosni
Publisher : Springer Nature
Page : 493 pages
File Size : 50,7 Mb
Release : 2023-10-16
Category : Technology & Engineering
ISBN : 9783031435201

Get Book

Artificial Intelligence and Industrial Applications by Tawfik Masrour,Hassan Ramchoun,Tarik Hajji,Mohamed Hosni Pdf

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Intelligent Decision Technologies

Ireneusz Czarnowski,R.J. Howlett,Lakhmi C. Jain

Author : Ireneusz Czarnowski,R.J. Howlett,Lakhmi C. Jain
Publisher : Springer Nature
Page : 324 pages
File Size : 52,7 Mb
Release : 2023-05-29
Category : Technology & Engineering
ISBN : 9789819929696

Get Book

Intelligent Decision Technologies by Ireneusz Czarnowski,R.J. Howlett,Lakhmi C. Jain Pdf

This book gathers selected papers from the KES-IDT 2023 Conference, held in Rome, Italy, on June 14–16, 2023. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed is classification, prediction, data analysis, big data, data science, decision support, knowledge engineering and modeling in diverse areas such as finance, cybersecurity, economics, health, management and transportation. The problems in industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues and decision-making theory for economics.

Multicriteria Decision Aid and Artificial Intelligence

Michael Doumpos,Evangelos Grigoroudis

Author : Michael Doumpos,Evangelos Grigoroudis
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 45,9 Mb
Release : 2013-02-01
Category : Business & Economics
ISBN : 9781118522493

Get Book

Multicriteria Decision Aid and Artificial Intelligence by Michael Doumpos,Evangelos Grigoroudis Pdf

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

Intelligent Decision Support Systems

Surekha Borra,Nilanjan Dey,Siddhartha Bhattacharyya,Mohamed Salim Bouhlel

Author : Surekha Borra,Nilanjan Dey,Siddhartha Bhattacharyya,Mohamed Salim Bouhlel
Publisher : Walter de Gruyter GmbH & Co KG
Page : 193 pages
File Size : 50,7 Mb
Release : 2019-10-21
Category : Computers
ISBN : 9783110621105

Get Book

Intelligent Decision Support Systems by Surekha Borra,Nilanjan Dey,Siddhartha Bhattacharyya,Mohamed Salim Bouhlel Pdf

Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi

Author : Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi
Publisher : Springer Nature
Page : 781 pages
File Size : 47,6 Mb
Release : 2020-02-08
Category : Technology & Engineering
ISBN : 9789811501999

Get Book

Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi Pdf

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems

Rui Yang,Maiying Zhong

Author : Rui Yang,Maiying Zhong
Publisher : CRC Press
Page : 93 pages
File Size : 43,7 Mb
Release : 2022-06-16
Category : Technology & Engineering
ISBN : 9781000594928

Get Book

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong Pdf

This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

Deep Learning Applications, Volume 2

M. Arif Wani,Taghi Khoshgoftaar,Vasile Palade

Author : M. Arif Wani,Taghi Khoshgoftaar,Vasile Palade
Publisher : Springer
Page : 300 pages
File Size : 43,9 Mb
Release : 2020-12-14
Category : Technology & Engineering
ISBN : 9811567581

Get Book

Deep Learning Applications, Volume 2 by M. Arif Wani,Taghi Khoshgoftaar,Vasile Palade Pdf

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

Handbook on Decision Making

Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz

Author : Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz
Publisher : Springer Nature
Page : 466 pages
File Size : 42,5 Mb
Release : 2022-09-26
Category : Technology & Engineering
ISBN : 9783031082467

Get Book

Handbook on Decision Making by Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz Pdf

This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.

Application of Machine Learning in Agriculture

Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari

Author : Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari
Publisher : Academic Press
Page : 332 pages
File Size : 51,6 Mb
Release : 2022-05-14
Category : Business & Economics
ISBN : 9780323906685

Get Book

Application of Machine Learning in Agriculture by Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari Pdf

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

Deep Learning Applications And Intelligent Decision Making In Engineering

Deep Learning Applications and Intelligent Decision Making in Engineering by Senthilnathan, Karthikrajan,Shanmugam, Balamurugan,Goyal, Dinesh,Annapoorani, Iyswarya,Samikannu, Ravi Pdf

Applied Intelligent Decision Making in Machine Learning by Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey Pdf

Machine Learning for Intelligent Decision Science by Jitendra Kumar Rout,Minakhi Rout,Himansu Das Pdf

Artificial Intelligence and Knowledge Processing by Hemachandran K,Raul V. Rodriguez,Umashankar Subramaniam,Valentina Emilia Balas Pdf

Deep Neural Network Applications by Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok Pdf

Intelligent Decision Making: An AI-Based Approach by Gloria Phillips-Wren,Nikhil Ichalkaranje Pdf

Artificial Intelligence and Industrial Applications by Tawfik Masrour,Hassan Ramchoun,Tarik Hajji,Mohamed Hosni Pdf

Intelligent Decision Technologies by Ireneusz Czarnowski,R.J. Howlett,Lakhmi C. Jain Pdf

Multicriteria Decision Aid and Artificial Intelligence by Michael Doumpos,Evangelos Grigoroudis Pdf

Intelligent Decision Support Systems by Surekha Borra,Nilanjan Dey,Siddhartha Bhattacharyya,Mohamed Salim Bouhlel Pdf

Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi Pdf

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems by Rui Yang,Maiying Zhong Pdf

Deep Learning Applications, Volume 2 by M. Arif Wani,Taghi Khoshgoftaar,Vasile Palade Pdf

Handbook on Decision Making by Julian Andres Zapata-Cortes,Cuauhtémoc Sánchez-Ramírez,Giner Alor-Hernández,Jorge Luis García-Alcaraz Pdf

Application of Machine Learning in Agriculture by Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari Pdf

Recent Posts